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Robotics Engineer, Perception



Palo Alto, CA, USA
Posted on Wednesday, March 8, 2023
Teleo is a robotics startup disrupting a trillion-dollar industry. Teleo converts construction heavy equipment, like loaders, dozers, excavators, trucks, etc. into autonomous robots. This technology allows a single operator to efficiently control multiple machines simultaneously, delivering substantial benefits to our customers while significantly enhancing operator safety and comfort.
Teleo is founded by Vinay Shet and Rom Clément, experienced technology executives who led the development of Lyft’s Self Driving Car and Google Street View. Teleo is backed by YCombinator, Up Partners, F-Prime Capital, and a host of industry luminaries. Teleo’s product is already deployed on several continents and generating revenue.
Teleo is poised for rapid growth. This presents a unique opportunity to be part of a team that is creating a product with a profound impact on our customers, working on cutting-edge 100,000-pound autonomous robots, engineering intricate systems at the intersection of hardware, software, and AI, and joining the early stages of an exciting startup journey.
About the Role
You will be responsible for the development and deployment of perception algorithms for our autonomous platform.
The most successful individual in this role will have demonstrated not only deep expertise in state-of-the-art perception algorithms (VGG, RESNET, YOLO...) but will have significant experience deploying perception software to production and in particular, compute limited hardware platforms.

Minimum Qualifications

  • Bachelors in Computer science or relevant degree with 3+ years of experience developing and deploying 2D/3D perception stack
  • Experienced in one of the following DNN workflow (Tensorflow, PyTorch, ONNX)
  • Extensive experience coding in C++ programming

Preferred Qualifications/Bonus Points

  • MS or Ph.D. in Computer Science or Electrical Engineering or a related field with 5+ years of hands-on experience developing software for autonomous platforms
  • Mastery of OpenCV, PCL
  • Expertise in 2D and 3D perception algorithms using classical as well as Deep Learning methogs across multiple sensor modalities (Cameras, Lidar, Radar…)
  • Experience in sensor fusion across at least 2 sensors modalities (camera, lidar, radar, IMU...)
  • Experience in camera calibration (extrinsic and intrinsic, dewarping and color calibration)
  • Experience in SLAM
  • Expertise in at least 2 workflows (Tensorflow, PyTorch, ONNX)
  • Experience deploying DNNs on embedded hardware (Quantization, pruning, compiling for specific hardware platforms...)
  • Experience with ROS/ROS2 (or similar middleware)
Teleo is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. All qualified people are encouraged to apply.